{ \renewcommand{\arraystretch}{1.2} 
\begin{table} 
\center 
\begin{tabular}{cc ccccccccc} 
 Method &  & $h_{450}$ & $h_{950}$ & $h_{1450}$ & $h_{1950}$ & $h_{2450}$ & $h_{2950}$ & $h_{3450}$ & $h_{3950}$ & $h_{4450}$ \\ \hline  \hline
\rowcolor{LightCyan} 
DA & Mean 
 & 0.9742  & 0.2586  & -0.0089  & -0.0058  & 0.2571  & 1.0833  & 0.0107  & 0.7333  & -0.7824  \\  [0.75ex] 
 & (Std) 
 & (0.4438)  & (0.4170)  & (0.4037)  & (0.4925)  & (0.4660)  & (0.4486)  & (0.4846)  & (0.4571)  & (0.4538)  \\  [0.75ex] 
 [111.83 s] & ESS 
 & 458.1981  & 487.7954  & 573.4700  & 301.6903  & 394.7480  & 501.1533  & 300.9905  & 376.8203  & 428.3700  \\  [0.75ex] 
\rowcolor{LightCyan} 
Adapt10 & Mean 
 & 1.0017  & 0.2135  & 0.0104  & -0.0512  & 0.2434  & 1.0640  & -0.0219  & 0.7528  & -0.7807  \\  [0.75ex] 
 & (Std) 
 & (0.4339)  & (0.4313)  & (0.4320)  & (0.4919)  & (0.4687)  & (0.4450)  & (0.4788)  & (0.4533)  & (0.4821)  \\  [0.75ex] 
 [1980.48 s] & ESS 
 & 1251.0761  & 1489.8770  & 1438.2114  & 1245.9040  & 1045.6156  & 1509.2016  & 1425.7218  & 1338.1454  & 1299.6270  \\  [0.75ex] 
\rowcolor{LightCyan} 
Adapt20 & Mean 
 & 0.9783  & 0.2285  & 0.0197  & -0.0400  & 0.2413  & 1.0591  & -0.0141  & 0.7419  & -0.8047  \\  [0.75ex] 
 & (Std) 
 & (0.4339)  & (0.4470)  & (0.4358)  & (0.5037)  & (0.4668)  & (0.4416)  & (0.4889)  & (0.4480)  & (0.4674)  \\  [0.75ex] 
 [2290.29 s] & ESS 
 & 1666.9895  & 1223.5629  & 1435.3243  & 1330.1456  & 1285.5800  & 1458.9846  & 1157.4458  & 1288.5621  & 1402.5858  \\  [0.75ex] 
\rowcolor{LightCyan} 
Adapt30 & Mean 
 & 0.9606  & 0.2249  & 0.0140  & -0.0523  & 0.2401  & 1.1006  & 0.0139  & 0.7448  & -0.7823  \\  [0.75ex] 
 & (Std) 
 & (0.4388)  & (0.4385)  & (0.4312)  & (0.4993)  & (0.4566)  & (0.4419)  & (0.4820)  & (0.4364)  & (0.4741)  \\  [0.75ex] 
 [2566.66 s] & ESS 
 & 1583.0963  & 1638.2834  & 1521.3819  & 1270.3133  & 1410.3016  & 1607.9897  & 1359.3508  & 1457.9380  & 1331.3497  \\  [0.75ex] 
\rowcolor{LightCyan} 
Bin20 & Mean 
 & 0.9790  & 0.2067  & 0.0177  & -0.0484  & 0.2509  & 1.0692  & 0.0101  & 0.7557  & -0.8082  \\  [0.75ex] 
 & (Std) 
 & (0.4371)  & (0.4282)  & (0.4284)  & (0.4897)  & (0.4713)  & (0.4407)  & (0.4803)  & (0.4483)  & (0.4817)  \\  [0.75ex] 
 [1683.02 s] & ESS 
 & 1419.5044  & 1243.5228  & 1632.9201  & 1223.3314  & 1179.1960  & 1455.7736  & 1395.4149  & 1217.5468  & 1171.6286  \\  [0.75ex] 
\rowcolor{LightCyan} 
Bin30 & Mean 
 & 0.9612  & 0.2285  & 0.0083  & -0.0484  & 0.2380  & 1.0748  & -0.0106  & 0.7307  & -0.8186  \\  [0.75ex] 
 & (Std) 
 & (0.4245)  & (0.4245)  & (0.4283)  & (0.5013)  & (0.4640)  & (0.4448)  & (0.4866)  & (0.4366)  & (0.4644)  \\  [0.75ex] 
 [2056.75 s] & ESS 
 & 1152.3039  & 1759.8326  & 1366.9740  & 1150.8848  & 1395.9699  & 1422.3038  & 1292.0738  & 1222.6960  & 1539.0783  \\  [0.75ex] 
   \hline 
\multicolumn{11}{p{\textwidth}}{\footnotesize{ESS: at lag equal to the lowest order at which sample autocorrelation is not significant.}}  \\ 
\multicolumn{11}{p{\textwidth}}{\footnotesize{Computing times  (in seconds) in square brackets.}}  \\ 
\end{tabular}
 \caption{SV model: posterior means, standard deviations and effective sample sizes (ESS) of the latent volatilities for $M=50000$ posterior draws after a burn-in of $10000$.}
\label{tab:SV_results_H_IBM}  
\end{table}
}} \normalsize